The wall can recognize you too: MIT has developed a Wi-Fi fluoroscopy.

The wall can recognize you too: MIT has developed a Wi-Fi fluoroscopy.

MIT's computer science and Artificial Intelligence Laboratory (CSAIL) today published a study. They found that Wi-Fi signals could be used to identify people blocked by the wall (up to 15 persons can be identified), and even determine their breathing modes and heart rate, the accuracy can reach 90%. You will surely think: Isn't that equivalent to X light? The function is indeed similar, but there is no need to worry about the radiation problem, because the researchers claim that the transmit power is only one thousandth of a normal mobile phone.

How did they do it? All this requires a device named RF-Capture. The device can send wireless signals and then analyze the signal reflection to piece together the human body form. In fact, the Wireless RF technology used by the device was developed two years ago, but at that time it was only used to identify the movements between the walls, but still could not identify the form of objects. After two years of polishing, they can now identify the subtle differences between human forms.

 

The specific identification process is as follows. First place the RF-Capture device in a room and then transmit wireless signals. The signal will penetrate the wall. When the signal encounters a person walking next door, it will be reflected in different parts of the human body. RF-Capture will "take pictures" of these refraction situations. After a period of time taking pictures and collecting enough samples, the researchers will use algorithms to identify human body parts, finally, the outline of the moving object is pieced together. In some experiments, the system can even recognize the handwriting of a person writing in the air after the specific motion pattern is adjusted (the effect is similar to that of Kinect ).

Although this technology has not yet been applied, MIT researchers have provided some future application scenarios, such as tracking the actions of Elderly Living alone to prevent people from falling down; or use its gesture recognition function to control household appliances in some smart home scenarios.

Of course, some people may think of it for rape-do not think that there is no listening in the room and the camera will be okay, and the wall will be eye-catching. However, researchers revealed that the shielding feature is currently being developed to ensure that the device can only track its owner.

The black Technology of WiFi is more than that. For example, researchers at the University of California Barbara used similar technologies to calculate the number of people.